关注
Amandine Marrel
Amandine Marrel
未知所在单位机构
没有经过验证的电子邮件地址
标题
引用次数
引用次数
年份
Calculations of Sobol indices for the Gaussian process metamodel
A Marrel, B Iooss, B Laurent, O Roustant
Reliability Engineering & System Safety 94 (3), 742-751, 2009
3882009
An efficient methodology for modeling complex computer codes with Gaussian processes
A Marrel, B Iooss, F Van Dorpe, E Volkova
Computational Statistics & Data Analysis 52 (10), 4731-4744, 2008
3072008
Global sensitivity analysis of stochastic computer models with joint metamodels
A Marrel, B Iooss, S Da Veiga, M Ribatet
Statistics and Computing 22, 833-847, 2012
1632012
Gaussian process modeling with inequality constraints
S Da Veiga, A Marrel
Annales de la Faculté des sciences de Toulouse: Mathématiques 21 (3), 529-555, 2012
1082012
Global sensitivity analysis for models with spatially dependent outputs
A Marrel, B Iooss, M Jullien, B Laurent, E Volkova
Environmetrics 22 (3), 383-397, 2011
1072011
Numerical studies of the metamodel fitting and validation processes
B Iooss, L Boussouf, V Feuillard, A Marrel
arXiv preprint arXiv:1001.1049, 2010
982010
New improvements in the use of dependence measures for sensitivity analysis and screening
M De Lozzo, A Marrel
Journal of Statistical Computation and Simulation 86 (15), 3038-3058, 2016
532016
Development of a surrogate model and sensitivity analysis for spatio-temporal numerical simulators
A Marrel, N Perot, C Mottet
Stochastic environmental research and risk assessment 29, 959-974, 2015
492015
Adaptive test of independence based on HSIC measures
M Albert, B Laurent, A Marrel, A Meynaoui
The Annals of Statistics 50 (2), 858-879, 2022
48*2022
Statistical developments for target and conditional sensitivity analysis: application on safety studies for nuclear reactor
A Marrel, V Chabridon
Reliability Engineering & System Safety 214, 107711, 2021
462021
Advanced methodology for uncertainty propagation in computer experiments with large number of inputs
B Iooss, A Marrel
Nuclear Technology, 2019
402019
Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators
M De Lozzo, A Marrel
Stochastic environmental research and risk assessment 31, 1437-1453, 2017
392017
Prediction under uncertainty on a mature field
M Feraille, A Marrel
Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 67 (2), 193-206, 2012
372012
Gaussian process regression with linear inequality constraints
S Da Veiga, A Marrel
Reliability Engineering & System Safety 195, 106732, 2020
332020
Advanced surrogate model and sensitivity analysis methods for sodium fast reactor accident assessment
A Marrel, N Marie, M De Lozzo
Reliability Engineering & System Safety 138, 232-241, 2015
312015
Sampling, metamodeling, and sensitivity analysis of numerical simulators with functional stochastic inputs
S Nanty, C Helbert, A Marrel, N Pérot, C Prieur
SIAM/ASA Journal on Uncertainty Quantification 4 (1), 636-659, 2016
302016
Uncertainty quantification for functional dependent random variables
S Nanty, C Helbert, A Marrel, N Pérot, C Prieur
Computational Statistics 32, 559-583, 2017
272017
Sensitivity analysis of spatial and/or temporal phenomena
A Marrel, N Saint-Geours, M De Lozzo
Handbook of Uncertainty Quantification, 1327-1357, 2017
272017
Physico-statistical approach to assess the core damage variability due to a total instantaneous blockage of SFR fuel sub-assembly
N Marie, A Marrel, JM Seiler, F Bertrand
Nuclear engineering and Design 297, 343-353, 2016
232016
New statistical methodology for second level global sensitivity analysis
A Meynaoui, A Marrel, B Laurent
arXiv preprint arXiv:1902.07030, 2019
222019
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